Defect Record Classification

1. A method comprising: receiving, by at least one computing device, a defect record associated with a defect; predicting a recommended plain language phrase or word based on a user input from a user and how many times within a predetermined time period a plain language phrase or word has been previously selected in response to the user input being included in a plain language dictionary; predicting the recommended plain language phrase or word based on a synonym of the user input from the user and how many times within the predetermined time period the plain language phrase or word has been selected in response to the user input not being included in the plain language dictionary; providing the recommended plain language phrase or word to classify the defect record; receiving, by the at least one computing device, the recommended plain language phrase or word to describe a type of testing from the user; mapping, by the at least one computing device, the recommended plain language phrase or word to a taxonomy; and classifying, by the at least one computing device, how the defect was at least one of detected and resolved using the taxonomy.

2. The method of claim 1 , further comprising: providing information regarding the defect record to the user; and generating the defect record with the recommended plain language phrase or word based on receiving the recommended plain language phrase or word.

3. The method of claim 1 , wherein the defect record includes: a unique defect record identifier; a record open date; a record close date; a problem description which describes how the defect was discovered and steps to recreate the defect; and a resolution description which describes a resolution or a disposition.

4. The method of claim 1 , wherein fields of the defect record include plain language phrases for an activity, trigger, target, artifact type, artifact qualifier, impact, source, content, and age of the defect record.

5. The method of claim 1 , wherein the predicting the recommended plain language phrase or word occurs by providing a drop down menu based on the user input in a portion of a field.

6. The method of claim 5 , further comprising determining the recommended plain language phrase or word inputted by the user has been used greater than a threshold amount before using the recommended plain language phrase or word to classify the defect record.

7. The method of claim 1 , further comprising sending the defect record with the recommended plain language phrase or word to a translation tool which translates the plain language phrase or word to a defect reduction method (DRM) taxonomy.

8. The method of claim 1 , further comprising using connectors to combine the recommended plain language phrase or word with another plain language phrase or word to generate a description of the defect record.

9. The method of claim 1 , further comprising distributing different defect records to different users and sharing of defect record classification between the different users in real time.

10. The method of claim 1 , wherein the recommended plain language phrase can be provided in any language and mapped to the taxonomy.

11. The method of claim 1 , wherein the at least one computing device enables real time categorization of the defect record by using multiple computing devices to access and classify the defect record.

12. The method of claim 1 , wherein how the defect is resolved includes a resolution description which defines what is necessary to resolve the defect, wherein the resolution description includes at least one of adding, removing, and correcting elements of a system being tested.

13. The method of claim 1 , wherein the plain language dictionary stores words and phrases that are selected by the user to map a particular word or phrase to the defect record.

14. The method of claim 13 , wherein the synonym is stored in the plain language dictionary.

15. A computer program product for generating plain language phrases comprising a computer readable hardware storage device having program code stored on the computer readable hardware storage device, the program code comprising: program code to receive a defect record; program code to send the defect record to a user; program code to predict a recommended first plain language phrase or word based on a user input from the user and how many times within a predetermined time period a first plain language phrase or word has been previously selected; program code to provide the recommended first plain language phrase or word to classify the defect record; program code to receive the recommended first plain language phrase or word which describes a type of testing associated with how the defect record was discovered; program code to provide connecting words; program code to receive a second plain language phrase or word which is binded to another plain language phrase or word using the connecting words to form a single plain language sentence related to how the defect associated with the defect record was resolved; program code to map the recommended first plain language phrase or word to a taxonomy; program code to map the second plain language phrase or word to the taxonomy; and program code to initiate to send the defect record with the taxonomy.

16. The computer program product of claim 15 , wherein the computer readable hardware storage device further provides workflow management that creates distribution and trend charts regarding classification of different types of defect records.

17. The computer program product of claim 15 , wherein the recommended first plain language phrase or word is any language which is mapped to the taxonomy.

18. The computer program product of claim 15 , wherein the computer readable hardware storage device further validates classification choices of the user by sending the classification choices to another user.

19. A system comprising: a CPU, a computer readable memory and a computer readable storage medium; program instructions to provide a defect record to a user; program instructions to predict a recommended plain language phrase or word based on a user input from the user and how many times within a predetermined time period a plain language phrase or word has been previously selected in response to the user input being included in a plain language dictionary; program instructions to predict the recommended plain language phrase or word based on a synonym of the user input from the user and how many times within the predetermined time period the plain language phrase or word has been selected in response to the user input not being included in the plain language dictionary; program instructions to provide the recommended plain language phrase or word which describes a type of testing to classify the defect record; program instructions to generate the defect record with the recommended plain language phrase or word; and program instructions to send the defect record with the recommended plain language phrase or word to a translation tool which generates taxonomy that is used by another user to analyze the defect record; wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

20. The system of claim 19 , wherein the providing the recommended plain language phrase or word includes determining whether the recommended plain language phrase or word has been used greater than a threshold amount based on inputs by previous users; and the system further comprises program instructions to provide collaboration between the user and other users that are classifying other defect records.